{
 "id": "jeffchen006/Innoc2Scam-bench-ICML26",
 "owner": "jeffchen006",
 "name": "Innoc2Scam-bench-ICML26",
 "downloads": 201,
 "likes": 1,
 "last_modified": "2026-10-09T12:09:18.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "mit",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
  "other"
 ],
 "citation": "@article{chen2025scam2prompt,\n  title={Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs},\n  author={Chen, Zhiyang and Saba, Tara and Deng, Xun and Si, Xujie and Long, Fan},\n  journal={arXiv preprint arXiv:2509.02372},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "c61c9f92f640bafd06fd1c83bf1b17bb910148c3",
 "stated_evidence": "https://huggingface.co/datasets/jeffchen006/Innoc2Scam-bench-ICML26/blob/c61c9f92f640bafd06fd1c83bf1b17bb910148c3/README.md",
 "file_evidence": "https://huggingface.co/datasets/jeffchen006/Innoc2Scam-bench-ICML26/blob/c61c9f92f640bafd06fd1c83bf1b17bb910148c3/LICENSE",
 "card_nc": false
}